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Related Concept Videos

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

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In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...
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Fundamental Attribution Error01:14

Fundamental Attribution Error

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According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
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Random Error01:04

Random Error

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Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
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Margin of Error01:27

Margin of Error

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The margin of error is also called the maximum error of an estimate. The margin of error is the maximum possible or expected difference between the observed sample parameter value and the actual population parameter value. For proportion, it is the maximum difference between the value of sample proportion obtained from the data and the true value of population proportion. As the true value of the population parameter is not known, the margin of error is calculated using the sample statistic.
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Guidelines for Sketching a Curve01:23

Guidelines for Sketching a Curve

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Curve sketching is a systematic method for understanding the overall behavior of a function by analyzing its key mathematical features. A function defines a curve on the coordinate plane, where the horizontal axis represents the input variable and the vertical axis represents the output. The process begins by determining the domain, which specifies the set of input values for which the function is defined and establishes the horizontal extent of the graph.Intercepts with the horizontal and...
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Guidelines for Writing Outcome01:11

Guidelines for Writing Outcome

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When developing expected outcomes for a patient care plan, the nurse should adhere to the following recommendations:
Patient outcomes reflect the patient's response to the goal rather than what the nurse aims to achieve. Terminology should be observable and measurable to avoid the reader's interpretation. The desired outcome should be realistic and achievable in the designated care timeframe. Expected outcomes should align with adjunctive therapies. The outcome should enhance care...
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Updated: Feb 14, 2026

Rare Event Detection Using Error-corrected DNA and RNA Sequencing
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ASVCP guidelines: Allowable total error hematology.

Mary B Nabity1, Kendal E Harr2, Melinda S Camus3

  • 1Texas A&M University, College Station, TX, USA.

Veterinary Clinical Pathology
|February 13, 2018
PubMed
Summary
This summary is machine-generated.

This guide offers total allowable error (TEa) recommendations for veterinary hematology tests. It helps ensure accurate results by providing guidelines for instrument performance evaluation and error management.

Area of Science:

  • Veterinary Medicine
  • Clinical Pathology
  • Laboratory Science

Background:

  • Accurate hematology results are crucial for veterinary diagnostics.
Keywords:
BiasBiological variationImprecisionInstrument performanceQuality assuranceQuality controlTotal observed error

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  • Establishing standardized error limits is essential for quality control.
  • Existing guidelines may not adequately address veterinary-specific hematology needs.